Nowadays, the issue of teachers’ psychological well-being causes serious concern, especially in Malaysia. Many studies related to psychological well-being have focused on students rather than on the health and well-being of teachers. Thus, the current study investigated the determinants of psychological well-being (depression, anxiety and stress) from the psychosocial work environment (job control, job demands and social support), and examined the moderating role of job control and social support in the relationship between job demands and psychological well-being among teachers. The design of this study was quantitative research through a survey questionnaire. The sample consisted of 335 high school teachers (23.3%—male; 76.7%—female) who responded to measuring scales of job demands, job control, social support, depression, anxiety and stress, and socio-demographic profile. The data were analyzed using two statistical methods, namely descriptive and inferential statistics. The hierarchical linear regression model was used to analyze the data by assisting the statistical software, i.e., SPSS-23. The results showed that job demands, job control and social support significantly predicted teachers’ psychological well-being. Furthermore, the effect of job demands on teachers’ depression and anxiety was partially moderated by job control and social support. In conclusion, this study has successfully identified the significant predictors of teachers’ psychological well-being and the role of job control and social support as a moderating variable to teachers’ psychological well-being in Malaysia. The result provides insights and contributes to the literature of teachers’ psychological well-being determinants and involves Malaysian respondents with a collectivistic eastern culture.

The primary notion of sustainable development is to maintain a promising future for the planet and the next generation by raising the awareness of sustainable development of people around the world. This study seeks to foster and enhance more sustainable behaviour in households, workplaces, schools, and higher educational institutions; previous research has placed increasing attention on the identification of factors of pro-environmental behaviour. Accordingly, this study aims to examine the elements influencing the pro-environmental behaviour of employees in the workplace. A survey was performed from January to February 2020 on 150 public employees of an organisation in Terengganu. Out of 150 employees, only 84 participated and had their responses collected by using convenience sampling. Smart PLS-SEM was used in analysing the relationships between the variables. The result of this study found that green lifestyles have a significant positive effect on pro-environmental behaviour. However, the impacts of environmental commitment, environmental consciousness, green self-efficacy, and green human resource management were insignificant. This study provides data that were developed using a cross-sectional design; the assessment of causality among the constructs was a risky process. Furthermore, the study collected data from a single source, namely the employees, which would enhance the relationships through common method bias. The findings of this study also offered several managerial implications for green organisations.

Industry 4.0 trends have a significant influence on the acceleration of technology in Indonesia. The development of financial technology has shifted conventional transactions to electronic money as a means of payment with a digital system. Electronic money users in Indonesia continue to grow, while several factors affect consumer decision making to use electronic money. This study aims to analyze the effect of financial literacy, practicality, and consumer lifestyle on consumer interest in using chip-based electronic money. This research uses a quantitative approach with primary data obtained through questionnaires to chip-based electronic money users. The analytical method used is Structural Equation Modeling (SEM) to verify the factors that determine the indicators of the findings of interest in the use of chip-based electronic money. The study results indicate that: (a) Financial literacy has a significant positive effect on interest in using chip-based electronic money by 14.6%; (b) Financial literacy has a significant positive effect on practicality in the use of chip-based electronic money by 51.8%; (c) Practicality in the use of chip-based electronic money has a significant positive effect on consumer lifestyles by 71.3%; (d) Practicality has a significant positive effect on the use of chip-based electronic money by 25%; and (e) Consumer lifestyle has a significant positive effect on the use of chip-based electronic money by 52.8%. The study results imply that it can be used as a consideration for making monetary policy in Indonesia, dealing with the rapid growth in the use of chip-based electronic money.

The global increase of urban solid waste in developing countries is creating highly significant challenges. There is a lack of research on sustainable waste management behavior (SWMB) among university academic staff. Hence, this study aims to examine the effect of attitude, subjective norm, and perceived behavior control on SWMB. This study employed the theory of planned behavior (TPB) as the underlying theory. This study’s sample consisted of 252 academic staff from the top three sustainable universities in Malaysia listed by the UiGreenMetric in 2018. The academic staff were surveyed by using an online and self-administered survey and analyzed by using PLS-SEMThe results showed that attitude, subjective norms, and perceived behavioral control positively affect SWMB. This study makes significant contributions to both theory and practice. The study fills in the literature gap and supports the TPB theory. This study provides empirical evidence on the effect of main TPB variables, such as attitude, subjective norms, and perceived behavior control on SWMB through a quantitative research approach, exploring all three of the 3Rs to study academic staff’s waste management behavior on campus. From the managerial perspective, this study’s results provide empirical evidence on factors that affect SWMB among academic staff. This information is crucial to managers and policymakers to plan strategies to engage academic staff with SWMB. Managers and policymakers should focus on conducting more campaigns on sustainable waste management for academic staff. The campaigns would enhance academic staff’s attitude, subjective norms, and perceived behavioral control towards practicing SWMB for a more sustainable campus in the future.

This research explores the complex dynamics of a Novel Four-Dimensional Fractional Supply Chain System (NFDFSCS) that integrates a quadratic interaction term involving the actual demand of customers and the inventory level of distributors. The introduction of the quadratic term results in significantly larger maximal Lyapunov exponents (MLE) compared to the original model, indicating increased system complexity. The existence, uniqueness, and Ulam–Hyers stability of the proposed system are verified. Additionally, we establish the global Mittag-Leffler attractive set (MLAS) and Mittag-Leffler positive invariant set (MLPIS) for the system. Numerical simulations and MATLAB phase portraits demonstrate the chaotic nature of the proposed system. Furthermore, a dynamical analysis achieves verification via the Lyapunov exponents, a bifurcation diagram, a 0–1 test, and a complexity analysis. A new numerical approximation method is proposed to solve non-linear fractional differential equations, utilizing fractional differentiation with a non-singular and non-local kernel. These numerical simulations illustrate the primary findings, showing that both external and internal factors can accelerate the process. Furthermore, a robust control scheme is designed to stabilize the system in finite time, effectively suppressing chaotic behaviors. The theoretical findings are supported by the numerical results, highlighting the effectiveness of the control strategy and its potential application in real-world supply chain management (SCM).

In this paper, we investigated a three-dimensional chaotic system that models key aspects of a monetary system, including interest rates, investment demand, and price levels. The proposed system is described by a set of autonomous quadratic ordinary differential equations. We analyze the dynamic behavior of this system through equilibrium points and their stability, Lyapunov exponents (LEs), and bifurcation diagrams. The system demonstrates a variety of behaviors, including chaotic, periodic, and equilibrium states depending on parameter values. Additionally, we explore the multistability of the system and present a radial basis function neural network (RBFNN) controller design to stabilize the chaotic behavior. The effectiveness of the controller is validated through numerical simulations, highlighting its potential applications in economic and financial modeling.